A Hilbert warping method for handwriting gesture recognition
Pattern Recognition
Scene segmentation of wedding party videos by scenario-based matching with example videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
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As part of ITS technology, to achieve quick map updates, we propose a method for automatically detecting changes in streetscapes from images captured by car-mounted omnidirectional cameras. It comprises two stages; accurate alignment of a map and street images taken at various times, and detection of changes in streetscapes from the aligned data. The system will collect data via many free-running cars fitted with low-cost equipment to obtain images at various times and along routes. In the first stage, we process the alignment of the image frames taken at same locations and determine the accurate position information of each frame by a method composed of dimension reduction and DP matching. Then in the second stage, we detect changes in streetscapes from images taken at various times. Experiments with 44 data items which were collected over about a year, demonstrate the effectiveness of our method.